Iris-mini and Iris-pro are the strongest open-weight search agents in their class
AllSpark's Iris agents top open-weight benchmarks — and transfer surprisingly well to tasks they never saw.
Why it matters
New open-weight search agents (Iris-mini, Iris-pro) deliver frontier-class performance in their size classes and show unexpected generalization to tool use and office work — a significant capability checkpoint for practitioners evaluating open alternatives to proprietary agent platforms.
The key facts
8 to knowAllSpark released Iris-mini and Iris-pro open-source search agents
Built on Qwen models
Lead benchmarks among open-weight models in their respective size classes
Training data and models improve performance on untrained tasks (general tool use, office work)
Demonstrates transfer learning across agent capabilities
Iris-mini and Iris-pro released as open-source search agents
Show improved performance on untrained tasks (general tool use, office work)
Training data and model weights publicly available
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: The AllSpark team has released Iris-mini and Iris-pro, two open-source search agents built on Qwen models that lead benchmarks among open-weight models in their size classes. According to the paper, the training data and models also improved performance on tasks they were never trained for,…